We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
Linear and affine subspaces are commonly used to describe appearance of objects under different lighting, viewpoint, articulation, and identity. A natural problem arising from the...
In this work we introduce a novel approach to object categorization that incorporates two types of context ? cooccurrence and relative location ? with local appearancebased featur...
Carolina Galleguillos, Andrew Rabinovich, Serge Be...
Clustered multimedia servers, consisting of interconnected nodes and disks, have been proposed for large scale servers, that are capable of supporting multiple concurrent streams ...
Renu Tewari, Daniel M. Dias, Rajat Mukherjee, Harr...
We propose a novel method for deformable tensor?to?tensor registration of Diffusion Tensor Imaging (DTI) data. Our registration method considers estimated diffusion tensors as norm...
M. Okan Irfanoglu, Cheng Guan Koay, Sinisa Pajev...